Podcast
Questions and Answers
What is the primary purpose of data analytics in commercial industries?
What is the primary purpose of data analytics in commercial industries?
- To make business decisions and optimize performance (correct)
- To personalize content for employees
- To develop specialized software and systems
- To improve the security of organizational data
What is the process of gaining valuable insights from data to make effective business decisions called?
What is the process of gaining valuable insights from data to make effective business decisions called?
- Data Analysis (correct)
- Data Mining
- Big Data Processing
- Data Visualization
What type of analytics involves using data to predict future outcomes?
What type of analytics involves using data to predict future outcomes?
- Diagnostic analytics
- Prescriptive analytics
- Predictive analytics (correct)
- Descriptive analytics
Who are responsible for performing data analytics tasks?
Who are responsible for performing data analytics tasks?
What is the term for the process of transforming data into a more usable format?
What is the term for the process of transforming data into a more usable format?
What is the primary goal of data visualization?
What is the primary goal of data visualization?
What is a crucial requirement for a scale in data visualization?
What is a crucial requirement for a scale in data visualization?
What type of scale is suitable for data that exhibits exponential growth?
What type of scale is suitable for data that exhibits exponential growth?
What is the purpose of a scale in data visualization?
What is the purpose of a scale in data visualization?
What type of coordinate system is commonly used for circular data?
What type of coordinate system is commonly used for circular data?
What is the primary characteristic of the angle axis in the polar coordinate system?
What is the primary characteristic of the angle axis in the polar coordinate system?
What is the result of using a scale that is not one-to-one?
What is the result of using a scale that is not one-to-one?
Which type of data analysis involves understanding the relationships between variables?
Which type of data analysis involves understanding the relationships between variables?
What is an example of a data transformation?
What is an example of a data transformation?
What is the purpose of data transformation in the context of data analysis?
What is the purpose of data transformation in the context of data analysis?
What is the primary advantage of using logarithmic scales in data visualization?
What is the primary advantage of using logarithmic scales in data visualization?
What is the main difference between categorical and continuous data?
What is the main difference between categorical and continuous data?
What is the coordinate system used to specify positions via an angle and a radial distance from the origin?
What is the coordinate system used to specify positions via an angle and a radial distance from the origin?
Flashcards
Purpose of Data Analytics
Purpose of Data Analytics
To make business decisions and optimize performance.
Data Analysis
Data Analysis
Gaining valuable insights from data to make effective business decisions.
Predictive Analytics
Predictive Analytics
Using data to predict future outcomes.
Who Does Data Analytics?
Who Does Data Analytics?
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Data Transformation
Data Transformation
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Goal of Data Visualization
Goal of Data Visualization
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Crucial Scale Requirement
Crucial Scale Requirement
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Scale for Exponential Growth
Scale for Exponential Growth
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Purpose of a Scale
Purpose of a Scale
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Coordinate System for Circular Data
Coordinate System for Circular Data
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Angle Axis Characteristic
Angle Axis Characteristic
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Result of a Non-One-to-One Scale
Result of a Non-One-to-One Scale
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Multivariate Analysis
Multivariate Analysis
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Data Transformation Example
Data Transformation Example
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Purpose of Data Transformation
Purpose of Data Transformation
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Advantage of Logarithmic Scales
Advantage of Logarithmic Scales
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Categorical vs. Continuous
Categorical vs. Continuous
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Coordinate system using angle and distance
Coordinate system using angle and distance
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Study Notes
Data Types and Visualization
- A dataset can have various types of data, including:
- Ordered factor (e.g., month)
- Discrete numerical value (e.g., day)
- Unordered factor (e.g., location, station ID)
- Continuous numerical value (e.g., temperature in degrees Fahrenheit)
Data Visualization and Scales
- Scales map data values to aesthetic values (e.g., x-axis positions, shapes, colors)
- A scale must be one-to-one, ensuring a unique mapping between data and aesthetics values
- In polar coordinate systems, positions are specified via an angle and radial distance from the origin
Data Analysis Tasks
- Importing datasets and libraries (e.g., numpy, pandas, matplotlib, seaborn)
- Importing a dataset (e.g., Credit Card Approvals) using
pd.read_csv()
Data Characteristics
- Categorical data: Gender, Married, BankCustomer, Industry, Ethnicity, PriorDefault, Employed, DrivingLicense, Citizen, Approved
- Continuous data: Age, Debt, YearsEmployed, CreditScore, Income
Univariate Analysis
- Univariate analysis is a basic form of data analysis, focusing on a single variable
- Used to understand the data without examining causes or effects relationships
Data Analytics
- Data analytics: the process of analyzing data sets to make informed decisions
- Uses specialized software and systems to help businesses:
- Understand customers better
- Improve advertising campaigns
- Personalize content
- Improve bottom lines
Data Visualization and Analytics
- Data visualization helps gain better insights into data
- Both data visualization and analytics draw conclusions about datasets
- Data visualization can be static or interactive
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